add files

funasr_local/bin/data2vec_train.py

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+#!/usr/bin/env python3
+
+import os
+
+from funasr_local.tasks.data2vec import Data2VecTask
+
+
+def parse_args():
+    parser = Data2VecTask.get_parser()
+    parser.add_argument(
+        "--gpu_id",
+        type=int,
+        default=0,
+        help="local gpu id.",
+    )
+    args = parser.parse_args()
+    return args
+
+
+def main(args=None, cmd=None):
+    # for data2vec Training
+    Data2VecTask.main(args=args, cmd=cmd)
+
+
+if __name__ == '__main__':
+    args = parse_args()
+
+    # setup local gpu_id
+    os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_id)
+
+    # DDP settings
+    if args.ngpu > 1:
+        args.distributed = True
+    else:
+        args.distributed = False
+    assert args.num_worker_count == 1
+
+    # re-compute batch size: when dataset type is small
+    if args.dataset_type == "small":
+        if args.batch_size is not None:
+            args.batch_size = args.batch_size * args.ngpu
+        if args.batch_bins is not None:
+            args.batch_bins = args.batch_bins * args.ngpu
+
+    main(args=args)